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    "# 2. Basic Memory Programming Usage\n",
    "\n",
    "The `pyrit.memory` module provides functionality to keep track of the conversation history, scoring, data, and more. You can use memory to read and write data. Here is an example that retrieves a normalized conversation:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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     "text": [
      "{}: user: Hi, chat bot! This is my initial prompt.\n",
      "{}: assistant: Nice to meet you! This is my response.\n",
      "{}: user: Wonderful! This is my second prompt to the chat bot!\n"
     ]
    }
   ],
   "source": [
    "from uuid import uuid4\n",
    "\n",
    "from pyrit.memory import SQLiteMemory\n",
    "from pyrit.models import MessagePiece\n",
    "\n",
    "conversation_id = str(uuid4())\n",
    "\n",
    "message_list = [\n",
    "    MessagePiece(\n",
    "        role=\"user\", original_value=\"Hi, chat bot! This is my initial prompt.\", conversation_id=conversation_id\n",
    "    ),\n",
    "    MessagePiece(\n",
    "        role=\"assistant\", original_value=\"Nice to meet you! This is my response.\", conversation_id=conversation_id\n",
    "    ),\n",
    "    MessagePiece(\n",
    "        role=\"user\",\n",
    "        original_value=\"Wonderful! This is my second prompt to the chat bot!\",\n",
    "        conversation_id=conversation_id,\n",
    "    ),\n",
    "]\n",
    "\n",
    "memory = SQLiteMemory(db_path=\":memory:\")\n",
    "\n",
    "memory.add_message_to_memory(request=message_list[0].to_message())\n",
    "memory.add_message_to_memory(request=message_list[1].to_message())\n",
    "memory.add_message_to_memory(request=message_list[2].to_message())\n",
    "\n",
    "entries = memory.get_conversation(conversation_id=conversation_id)\n",
    "\n",
    "for entry in entries:\n",
    "    print(entry)\n",
    "\n",
    "# Cleanup memory resources\n",
    "memory.dispose_engine()"
   ]
  }
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